What load testing tools are integrated with this skill?

The skill provides patterns and scripts for running performance tests using k6 and Artillery to simulate various traffic ramp-up patterns and stress tests.

Which programming languages does the Performance Profiler support?

It provides specialized profiling recipes and tools for Node.js (flamegraphs), Python (py-spy), and Go (pprof) environments.

How does this skill help with database performance?

The skill identifies N+1 query patterns, detects missing indexes using EXPLAIN ANALYZE, and suggests optimizations for slow query logs.

Why is the 'Measure First' rule emphasized?

It ensures that optimizations are data-driven, establishing a clear baseline to verify that code changes actually improve performance rather than guessing at bottlenecks.

Can I use this for frontend bundle optimization?

Yes, it includes capabilities for bundle analysis using tools like webpack-bundle-analyzer and Next.js analyzer to reduce payload sizes and improve load times.

Performance Profiler

Name: Performance Profiler
Author: alirezarezvani

byalirezarezvani

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8,641

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Analytics & Monitoring

Identifies and resolves performance bottlenecks across Node.js, Python, and Go applications using systematic profiling and load testing.

The Performance Profiler skill equips Claude with a rigorous framework for identifying CPU, memory, and I/O bottlenecks in modern software architectures. It streamlines the optimization process by enforcing a 'measure first' methodology, enabling developers to generate flamegraphs, detect memory leaks, analyze bundle sizes, and execute sophisticated load tests with k6 or Artillery. Whether you are troubleshooting high P99 latency or preparing for a major traffic spike, this skill provides the diagnostic workflows and reporting templates needed to transform slow code into high-performance systems with verifiable before-and-after metrics.

Key Features

01Frontend bundle analysis to identify and reduce dependency bloat

02Database optimization via EXPLAIN ANALYZE and N+1 query detection

03Integrated load testing workflows using k6 and Artillery scenarios

04Multi-language profiling support for Node.js, Python, and Go ecosystems

058,641 GitHub stars

06Comprehensive memory leak detection and heap snapshot analysis

Use Cases

01Identifying the root cause of gradual memory growth or leaks in long-running services

02Validating the impact of code or database changes through systematic benchmarking

03Diagnosing and fixing high P99 latency issues before a production release

Key Features

01Frontend bundle analysis to identify and reduce dependency bloat

02Database optimization via EXPLAIN ANALYZE and N+1 query detection

03Integrated load testing workflows using k6 and Artillery scenarios

04Multi-language profiling support for Node.js, Python, and Go ecosystems

058,641 GitHub stars

06Comprehensive memory leak detection and heap snapshot analysis

Use Cases

01Identifying the root cause of gradual memory growth or leaks in long-running services

02Validating the impact of code or database changes through systematic benchmarking

03Diagnosing and fixing high P99 latency issues before a production release